{"id":"https://openalex.org/W2272618324","doi":"https://doi.org/10.1145/2851141.2851163","title":"High performance model based image reconstruction","display_name":"High performance model based image reconstruction","publication_year":2016,"publication_date":"2016-02-22","ids":{"openalex":"https://openalex.org/W2272618324","doi":"https://doi.org/10.1145/2851141.2851163","mag":"2272618324"},"language":"en","primary_location":{"id":"doi:10.1145/2851141.2851163","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2851141.2851163","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100411431","display_name":"Xiao Wang","orcid":"https://orcid.org/0000-0001-6545-1943"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xiao Wang","raw_affiliation_strings":["Engineering, Purdue University"],"affiliations":[{"raw_affiliation_string":"Engineering, Purdue University","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000932612","display_name":"Amit Sabne","orcid":"https://orcid.org/0000-0002-2179-0078"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amit Sabne","raw_affiliation_strings":["Engineering, Purdue University"],"affiliations":[{"raw_affiliation_string":"Engineering, Purdue University","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075674453","display_name":"Sherman J. Kisner","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sherman Kisner","raw_affiliation_strings":["High Performance Imaging LLC"],"affiliations":[{"raw_affiliation_string":"High Performance Imaging LLC","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065766721","display_name":"Anand Raghunathan","orcid":"https://orcid.org/0000-0002-4624-564X"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anand Raghunathan","raw_affiliation_strings":["Engineering, Purdue University"],"affiliations":[{"raw_affiliation_string":"Engineering, Purdue University","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056657991","display_name":"Charles A. Bouman","orcid":"https://orcid.org/0000-0001-8504-0383"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Charles Bouman","raw_affiliation_strings":["Engineering, Purdue University"],"affiliations":[{"raw_affiliation_string":"Engineering, Purdue University","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013023792","display_name":"Samuel P. Midkiff","orcid":"https://orcid.org/0000-0003-0246-7192"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Samuel Midkiff","raw_affiliation_strings":["Engineering, Purdue University"],"affiliations":[{"raw_affiliation_string":"Engineering, Purdue University","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100411431"],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":4.5653,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.942009,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7890247106552124},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.7094987630844116},{"id":"https://openalex.org/keywords/scanner","display_name":"Scanner","score":0.691074788570404},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.6768804788589478},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.6186683773994446},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.5266571044921875},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5162286758422852},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48092934489250183},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4516162872314453},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.43619677424430847},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3960636258125305},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32273855805397034},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.25929248332977295},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07011404633522034}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7890247106552124},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.7094987630844116},{"id":"https://openalex.org/C2779751349","wikidata":"https://www.wikidata.org/wiki/Q1474480","display_name":"Scanner","level":2,"score":0.691074788570404},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.6768804788589478},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.6186683773994446},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.5266571044921875},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5162286758422852},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48092934489250183},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4516162872314453},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.43619677424430847},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3960636258125305},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32273855805397034},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.25929248332977295},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07011404633522034},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2851141.2851163","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2851141.2851163","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5600000023841858,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G4166354238","display_name":null,"funder_award_id":"2013-ST-061-ED0001","funder_id":"https://openalex.org/F4320332664","funder_display_name":"Science and Technology Directorate"},{"id":"https://openalex.org/G6817065592","display_name":null,"funder_award_id":"D15PC00110","funder_id":"https://openalex.org/F4320306110","funder_display_name":"U.S. Department of Homeland Security"},{"id":"https://openalex.org/G7282745900","display_name":null,"funder_award_id":"2013-ST-061-ED0001","funder_id":"https://openalex.org/F4320306110","funder_display_name":"U.S. Department of Homeland Security"}],"funders":[{"id":"https://openalex.org/F4320306110","display_name":"U.S. Department of Homeland Security","ror":"https://ror.org/00jyr0d86"},{"id":"https://openalex.org/F4320332664","display_name":"Science and Technology Directorate","ror":"https://ror.org/00jyr0d86"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W340244495","https://openalex.org/W1925354503","https://openalex.org/W1986262252","https://openalex.org/W2003624223","https://openalex.org/W2065095381","https://openalex.org/W2097846568","https://openalex.org/W2098841537","https://openalex.org/W2108720883","https://openalex.org/W2110844694","https://openalex.org/W2117893569","https://openalex.org/W2126068349","https://openalex.org/W2141991262","https://openalex.org/W2142419873","https://openalex.org/W2168543121","https://openalex.org/W2196956961","https://openalex.org/W2272618324","https://openalex.org/W2398736309","https://openalex.org/W2540943031","https://openalex.org/W2548063232","https://openalex.org/W4300263211","https://openalex.org/W4377018861"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W2146343568","https://openalex.org/W98480971","https://openalex.org/W2150291671","https://openalex.org/W2013643406","https://openalex.org/W2027972911","https://openalex.org/W2157978810","https://openalex.org/W4391547476","https://openalex.org/W2597809628"],"abstract_inverted_index":{"Computed":[0],"Tomography":[1],"(CT)":[2],"Image":[3],"Reconstruction":[4,32],"is":[5,50],"an":[6,127],"important":[7],"technique":[8],"used":[9,55],"in":[10,68],"a":[11,80,98,111],"wide":[12],"range":[13],"of":[14,43,61,90,101,130],"applications,":[15],"ranging":[16],"from":[17],"explosive":[18],"detection,":[19],"medical":[20],"imaging":[21],"to":[22,126],"scientific":[23],"imaging.":[24],"Among":[25],"available":[26],"reconstruction":[27],"methods,":[28],"Model":[29],"Based":[30],"Iterative":[31],"(MBIR)":[33],"produces":[34],"higher":[35],"quality":[36],"images":[37],"and":[38,118,124],"allows":[39],"for":[40,70],"the":[41,87,102],"use":[42],"more":[44,53],"general":[45],"CT":[46],"scanner":[47,103],"geometries":[48],"than":[49],"possible":[51],"with":[52,110],"commonly":[54],"methods.":[56],"The":[57],"high":[58],"computational":[59,88],"cost":[60,89],"MBIR,":[62],"however,":[63],"often":[64],"makes":[65],"it":[66,72],"impractical":[67],"applications":[69],"which":[71],"would":[73],"otherwise":[74],"be":[75],"ideal.":[76],"This":[77],"paper":[78],"describes":[79,97],"new":[81],"MBIR":[82,91],"implementation":[83],"that":[84],"significantly":[85],"reduces":[86],"while":[92],"retaining":[93],"its":[94],"benefits.":[95],"It":[96],"novel":[99],"organization":[100],"data":[104],"into":[105],"super-voxels":[106],"(SV)":[107],"that,":[108],"combined":[109],"super-voxel":[112],"buffer":[113],"(SVB),":[114],"dramatically":[115],"increase":[116],"locality":[117],"prefetching,":[119],"enable":[120],"parallelism":[121],"across":[122],"SVs":[123],"lead":[125],"average":[128],"speedup":[129],"187":[131],"on":[132],"20":[133],"cores.":[134]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":3}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}